CSCI-C 463 Artificial Intelligence I
3 credits
- Prerequisite(s): CSCI-A 204 or CSCI-A 202 or CSCI-C 201 or CSCI 24000 or INFO-B 211 or CSCI-A 255 or CSCI-C 212
- Delivery: On-Campus
- Semesters offered: Spring (Check the schedule to confirm.)
Description
Goals of artificial intelligence, relations with other fields. Introduction to knowledge representation and inference: predicate calculus, frames, semantic networks, and connectionist representation schemes. Pattern recognition and pattern association. Computer vision. Natural language processing: speech recognition, syntax, and semantics. Heuristic search. Extensive laboratory exercises.
Learning Outcomes
- Explain the history of artificial intelligence (AI) and its cultural and philosophical background. CS 4
- Apply AI approaches to achieve AI goals. CS 4
- Explain search and representation strategies in AI. CS 4
- Evaluate the strengths and weaknesses of algorithms used in AI subfields, such as machine learning, natural language processing, planning, robotics, and autonomous agents. CS 4
- Propose AI solutions to real-world problems. CS 4
- Write critically about AI research and development topics in the literature. CS 7
Policies and Procedures
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